Papers
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Bao Li, Zhenyu Liu, Lizhi Shao et al.
Polyper: Boundary Sensitive Polyp Segmentation
Hao Shao, Yang Zhang, Qibin Hou
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
Jizhou Wu, Jianye Hao, Tianpei Yang et al.
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Rui She, Sijie Wang, Qiyu Kang et al.
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
Mohsen Gholami, Rabab Ward, Z. Jane Wang
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract)
Grant C. Forbes, David L. Roberts
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)
Brian Zhou, Jason Geder, Kamal Viswanath et al.
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)
Amelia Jobe, Richard Ky, Sandra Luo et al.
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
Yuting Ma, Yuanzhi Yao, Xiaohua Xu
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho et al.
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
Jia Wang, Wuqiang Su, Zushu Huang et al.
Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing
Robert Kasumba, Marion Neumman
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
Siyuan Hu, Zheng Wang, Peng Hu et al.
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
Wenbo Wang, Bingquan Liu, Lili Shan et al.
Preference Ranking Optimization for Human Alignment
Feifan Song, Bowen Yu, Minghao Li et al.
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang, Lin Liu, Chuyuan Wang et al.
Preparing Lessons for Progressive Training on Language Models
Yu Pan, Ye Yuan, Yichun Yin et al.
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
Rui Zhang, Dawei Cheng, Jie Yang et al.
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
Catalina Vajiac, Arun Frey, Joachim Baumann et al.
Primitive-Based 3D Human-Object Interaction Modelling and Programming
Siqi Liu, Yong-Lu Li, Zhou Fang et al.